Jun Liu

Google Scholar

Office: #1.502.33

Email: ljchangyu [at] hotmail.com

I am an Assistant Professor at the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design (SUTD).  I am currently looking for motivated PhD students, Research Assistants, and Visiting Students with strong interests in computer vision and machine learning. If interested, kindly contact me via email.

I have several PhD positions with full scholarship for the 2021 Jan intake.

Research Interests 

Computer Vision, Machine Learning.

​​Research Group

Li Tianjiao (2020 Sep intake)

Ng Xun Long (2020 Sep intake)

Ong Kian Eng (2020 Sep intake)

Xu Li (2020 Sep intake)

Publication

  1. Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot, Feature Boosting Network for 3D Pose Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF=17.9)

  2. Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, Skeleton-Based Online Action Prediction Using Scale Selection Network, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF=17.9, PREMIA Best Student Silver Award Paper)

  3. Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu, Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation, IEEE Transactions on Image Processing (TIP), 2020. (IF=9.3)

  4. Tianjiao Li, Jun Liu*, Wei Zhang, Lingyu Duan, HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction, European Conference on Computer Vision (ECCV), 2020. 

  5. Zhipeng Fan, Jun Liu*, Yao Wang, Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

  6. Siyuan Yang, Jun Liu*, Shijian Lu, Meng Hwa Er, Alex C. Kot, Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

  7. Yujun Cai, Lin Huang, Yiwei Wang, Xu Yang, Jun Liu, et al., Learning Progressive Joint Propagation for Human Motion Prediction, European Conference on Computer Vision (ECCV), 2020. 

  8. Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Lingyu Duan, Disentangled Feature Learning Network for Vehicle Re-Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  9. Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff, DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation, IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

  10. Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C. Kot, NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (IF=17.9) [dataset

  11. Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, Embedding Adversarial Learning for Vehicle Re-Identification, IEEE Transactions on Image Processing (TIP), 2019. (IF=9.3)

  12. Ye Liu, Xiao-Yuan Jing, Jianhui Nie, Hao Gao, Jun Liu, Guo-Ping Jiang, Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos, IEEE Transactions on Multimedia (TMM), 2019. [code

  13. Ai Huang, Yong Xiao, Chunfen Peng, Tao Liu, Zhenyu Lin, Qin Yang, Tao Zhang, Jun Liu, Hong Ma, 53BP1 expression and immunoscore are associated with the efficacy of neoadjuvant chemoradiotherapy for rectal cancer, Strahlentherapie und Onkologie, 2019.

  14. Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [dataset]

  15. Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat Thalmann, Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks, IEEE International Conference in Computer Vision (ICCV), 2019.

  16. Mauricio Perez, Jun Liu, Alex C. Kot, Interaction Recognition Through Body Parts Relation Reasoning, Asian Conference on Pattern Recognition (ACPR), 2019.

  17. Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang, Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. (IF=17.9)

  18. Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks, IEEE Transactions on Image Processing (TIP), 2018. (IF=9.3)

  19. Luchao Tian, Mingchen Li, Yu Hao, Jun Liu, Guyue Zhang, Yan Qiu Chen, Robust 3-D human detection in complex environments with a depth camera, IEEE Transactions on Multimedia (TMM), 2018.

  20. Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, SSNet: Scale selection network for online 3D action prediction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight Paper)

  21. Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaid, Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition, Asian Conference on Computer Vision (ACCV), 2018.

  22. Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Senjian An, Ferdous Sohely, Farid Boussaid, Computer Vision for Human-Machine Interaction, Computer Vision for Assistive Healthcare, 2018.

  23. Guyue Zhang, Jun Liu, Hengduo Li, Yan Qiu Chen, Larry S. Davis, Joint human detection and head pose estimation via multistream networks for RGB-D videos, IEEE Signal Processing Letters (SPL), 2017. 

  24. Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot, Global context-aware attention LSTM networks for 3D action recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  25. Ping Hu, Bing Shuai, Jun Liu, Gang Wang, Deep level sets for salient object detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  26. Hengduo Li, Jun Liu*, Guyue Zhang, Yuan Gao, Yirui Wu, Multi-glimpse LSTM with color-depth feature fusion for human detection, IEEE International Conference on Image Processing (ICIP), 2017.

  27. Wenhai Wang, Yirui Wu , Shivakumara Palaiahnakote, Tong Lu, Jun Liu, Cloud of line distribution for arbitrary text detection in scene/video/license plate images, Pacific-Rim conference on Multimedia (PCM), 2017.

  28. Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang, Spatio-temporal LSTM with trust gates for 3D human action recognition, European Conference on Computer Vision (ECCV), 2016. (PREMIA Best Student Silver Award Paper)

  29. Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang, NTU RGB+D: A large scale dataset for 3D human activity analysis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [dataset]

  30. Guyue Zhang, Jun Liu, Luchao Tian, Yan Qiu Chen, Reliably detecting humans with RGB-D camera with physical blob detector followed by learning-based filtering, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

  31. Guyue Zhang, Luchao Tian, Ye Liu, Jun Liu, An Xiang Liu, Yang Liu, Yan Qiu Chen, Robust real-time human perception with depth camera, European Conference on Artificial Intelligence (ECAI), 2016.

  32. Luchao Tian, Guyue Zhang, Mingchen Li, Jun Liu, Yan Qiu Chen, Reliably detecting humans in crowded and dynamic environments using RGB-D camera, IEEE International Conference on Multimedia and Expo (ICME), 2016.

  33. Jun Liu, Ye Liu, Guyue Zhang, Peiru Zhu, Yan Qiu Chen, Detecting and tracking people in real time with RGB-D camera, Pattern Recognition Letters (PRL), 2015.

  34. Jun Liu, Guyue Zhang, Ye Liu, Luchao Tian, Yan Qiu Chen, An ultra-fast human detection method for color-depth camera, Journal of Visual Communication and Image Representation (JVCI), 2015.

  35. Jun Liu, Ye Liu, Ying Cui, Yan Qiu Chen, Real-time human detection and tracking in complex environments using single RGBD camera, IEEE International Conference on Image Processing (ICIP), 2013.

Professional Activities 

  • Organizer: Large Scale 3D Human Activity Analysis Challenge in Depth Videos, ACCV 2016.

  • Conference TPC Member/Reviewer: CVPR, ICCV, ECCV, AAAI, IJCAI, ACMMM, WACV, ICME, etc.

  • Journal Reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TCYB, TIFS, TII, and other 30+ journals.

  • Editorial Board Member: Hindawi Complexity, MDPI Electronics.

Awards              

  • EEE Best Thesis Award, Nanyang Technological University (NTU), 2020.

  • Best Student Paper Silver Award of the Year, Pattern Recognition and Machine Intelligence Association (PREMIA), 2019.

  • Best Student Paper Silver Award of the Year, Pattern Recognition and Machine Intelligence Association (PREMIA), 2016.

 

©2020 by Liu Jun

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